About the role
ProdE is the product brain for AI-native software teams. We turn codebases into docs, answers, and specs that AI agents can execute. We outscored DeepWiki by 15%, Google Code Wiki by 38%, and Claude Code by 40% on AI codebase documentation benchmarks.
We're building AI agents at ProdE for one of the hardest problems in enterprise software: planning. The systems you build will reason about high-stakes decisions for billion-dollar enterprises, where being wrong is expensive and being right is transformative.
Not a wrapper-around-an-API job. You'll write production-grade code that holds up at scale, and design agents that work when reality gets messy. If you've built agents and have strong, hard-won opinions about what actually works, talk to us.
What you'll do
- Design, build, and ship production AI agents for enterprise planning.
- Make deliberate architectural choices: planning loops, tool use, memory, multi-agent, human-in-the-loop. Know when not to use each.
- Write production-grade Python that scales and stays maintainable.
- Build supporting infrastructure: data pipelines, retrieval, evaluation harnesses.
- Iterate on reliability, accuracy, and cost.
What we're looking for
- 2+ years of professional software development.
- Strong Python with a track record of production code at scale, not just prototypes.
- Hands-on experience building AI agents, not just using them.
- Real understanding of where LLM-based agents excel and where they fail.
- Familiarity with ReAct, planning/reflection loops, tool use, multi-agent orchestration, RAG-augmented agents, and the tradeoffs.
- MongoDB experience: schema design, queries, production use.
Nice to have
- Agent frameworks (LangGraph, LlamaIndex, CrewAI, AutoGen), and comfort without them.
- Background in planning, scheduling, optimization, or operations research.
- Evaluation and observability tooling for non-deterministic systems.
- Enterprise software exposure.
Who you'll work with
Small senior team. You'll work with us, the co-founders, every day. Abhishek (CEO) led AI Agents at Leena AI (YC S18) from $100K to $10M ARR. Nilesh (COO) was a Director at a Series B company, learned ML at CMU.
How we work
- Core team, real ownership, equity on the table.
- Remote-first.
- Gurugram preferred for occasional in-person.
How to apply
Send your resume to abhishek@prode.ai with a short paragraph on why you're a fit, and highlight your best work in the email.
Subject line:
Application - AI Agent Developer - [Your Name]
On "best work": not a product vibe-coded from a single prompt. Show us ingenuity, imagination, and product thinking on a real problem.
Equal Opportunity
CuriousBox AI Inc. is an equal opportunity employer. All qualified applicants receive consideration regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, or veteran status.